EMG classification using the second order volterra series

Abstract

This paper studies about electromyography (EMG) classification. The application of EMG classifier is used for prosthetic control. A Volterra series was propose in this works, we used 2nd order series for processing EMG signal. This work had compared between filtered EMG and 2nd Volterra EMG in artificial neural network (ANN) model. The result show the classification with 2nd Volterra EMG has more accuracy than filtered EMG. The future works is to develop the Volterra-Neural networks (V-NN) model for EMG classifier.